DSLs Enable Reliable Use of LLMs
Why Domain-Specific Languages and good abstractions make LLM code generation reliable and reviewable.
The latest blog posts to take off on Hacker News. 6,325 posts.
Why Domain-Specific Languages and good abstractions make LLM code generation reliable and reviewable.
How I tricked Claude into leaking your deepest, darkest secrets
/prewalk hands the cheap model a trajectory, not a plan, retaining 92–97% of frontier pass rate at roughly half the cost on SWE-Bench Pro.
A from-scratch JEPA world model trained on Super Mario Bros. to study action-conditioned prediction and reward-free planning.
Today we're announcing Bonsai 27B, our multimodal flagship: ternary at 5.9GB for laptops, 1-bit at 3.9GB for an iPhone 17 Pro, with a 262K-token context.
Vibecoding and the possible collapse of a shared language.
Reflections on autonomy and the value of thinking for ourselves
Hack the text output of Claude Code to make life a little bit sillier.
AI built for autonomy crowds people out, making us passive observers of what’s coming. We’re building toward a different future.
My keynote at ICML 2026
Real token cost of frontier models on the same TypeScript input - Claude Fable 5.1, Opus 5, GPT-5.6, Gemini 3.7 Flash. Tokenizer counts, effective cost.
Lately I’ve been asking myself: what might artificial intelligence be good for besides answering questions and writing code?
A vṛtta (meter) aware śloka-to-chant system for Sanskrit. Try the live demo, hear sample chants, read the paper.
Compare Apple's new SpeechAnalyzer API to Whisper and SFSpeechRecognizer. Real accuracy benchmarks on 5,559 utterances with raw transcripts for rescoring.
I think from this blog you may misunderestimate how absolutely giddy I am about AI. I did hacking from 2007-2014, after that my whole career has been devoted to AI. I love the progress. I’m so excited for the new LLMs, self driving cars, video generation models, and coding agents. I set up a Linux box with opencode on…
Claude Code vs OpenCode token overhead measured at the API boundary. Out-of-the-box baselines, instruction file weight, MCP schema tax, subagent multipliers, and cache-write behaviour.
For four months, no frontier model beat Claude Opus in our production evals. GPT-5.6 did. This is what we learned while migrating.
I have been interested in machine-assisted ways to do and teach mathematics from as far back as 1999, when I started coding several applets in Java 1.0, both for my complex analysis and linear alge…
How Mesh LLM pools existing GPU resources across machines into a single OpenAI-compatible API, built on iroh.
I already did.
I used to be one of these people. I read Yudkowsky and was like, OMG recursive self improvement hard takeoff AI is coming. Then I joined the real world and actually tried to do things. At comma, we ship a hardware product of similar complexity to a cell phone, and it’s really hard. Reality has lots of finicky details…
My latest Locus column is "Reverse Centaurs," and it sets out to unravel a paradox: how is it that some AI's users describe their experience as a hellish ordeal, while others delight in the ways that AI is changing their lives for the better?
Neoclouds are one of the more hotly debated AI business models, with CoreWeave and Nebius being the two most widely recognized names. These companies have seen their sales, backlog, and share prices soar. Yet, supporting their growth is extremely expensive, and neoclouds do not have the same cash nor operating cash…
GPT-5.6's new Sol, Terra, and Luna tiers go head-to-head with Grok 4.5, Claude, Meta's Muse Spark, and the open-weights crew on a raycaster, a Rubik's cube, a calculator, and Game of Life. Here's every build, with cost and latency.
The Cambridge Programme on AI Science & Policy (CASP) is an interdisciplinary research programme on frontier AI at the University of Cambridge.
We set out to build the first AI tutor to teach math and reading to kids ages 4-9. For AI to actually teach a five-year-old, pedagogy must be baked into the engineering. A child can't wait for a slow reply, can't read a chat interface, and can't unhear anything a model gets wrong. We wanted to share some of the…
More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.
ChatGPT Work is an agent that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.